Optimal management of complex ecological systems

复杂生态系统的优化管理

• 批准号: DP0346165
• 负责人: Prof Hugh Possingham
• 金额: $ 36.68万
• 依托单位: The University of Queensland
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2003
• 资助国家: 澳大利亚
• 起止时间: 2003-01-01 至 2007-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0346165
• 关键词: Optimal; management; complex; ecological; systems

Natural systems are inherently complex and difficult to predict. This complexity means that efficient management strategies are often uncertain, and resource managers have few theories or rules on which to base their decisions. We will integrate the existing theories and principles of conservation biology with decision-making tools and theory used in statistics, economics, control theory, engineering and mathematics. We will use novel methods to investigate the reliability of different management decisions that are made in the face of uncertainty and involve learning. Our aim is to discover a general theory for a new branch of conservation biology: applied theoretical conservation ecology.

自然系统本质上是复杂的，难以预测。 这种复杂性意味着有效的管理策略往往是不确定的，资源管理人员几乎没有理论或规则来作为决策的基础。我们将把现有的保护生物学理论和原则与统计学、经济学、控制论、工程学和数学中使用的决策工具和理论相结合。我们将使用新的方法来研究面对不确定性和涉及学习的不同管理决策的可靠性。我们的目标是为保护生物学的一个新分支：应用理论保护生态学发现一般理论。